Title :
A Technique for Developing Low Order Models of Power Plants
Author :
Morris, R.L. ; Schweppe, F.C.
Author_Institution :
Bell Laboratories
Abstract :
The development of a reduced order nonlinear mathematical model of a power plant is described. An integrated model development approach was used. It is shown that the integrated approach can efficiently assess a model´s performance capabilities in a quantified manner. By utilizing stochastic modeling, Maximun Likelihood Estimation, and Kalman Filtering, the approach provides many enhanced features, such as statistically based validity testing and accuracy evaluation. Discussions describe the motivations for each step of the approach. The approach is general and can be used for the development of other types of nonlinear system models, as well
Keywords :
Computational efficiency; Filtering; Kalman filters; Least squares approximation; Mathematical model; Power generation; Power system modeling; Predictive models; Stochastic processes; Testing;
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
DOI :
10.1109/TPAS.1981.316838